Seungwon Song
- Electrical and Electronic Engineering
- Materials Chemistry
- Aerospace Engineering top 5%
- Polymers and Plastics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hyun MyungSungwook JungHeesun YangHyungtae LimSuk‐Young YoonSun‐Hyoung LeeDae‐Yeon JoHyun‐Min Kim
- Topics
- Robotics and Sensor-Based Localization (14 papers)Indoor and Outdoor Localization Technologies (6 papers)Quantum Dots Synthesis And Properties (6 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Seungwon Song
27 papers receiving 695 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 274
- Materials Chemistry 272
- Aerospace Engineering 201
- Polymers and Plastics 148
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by Seungwon Song
This map shows the geographic impact of Seungwon Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seungwon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungwon Song more than expected).
Fields of papers citing papers by Seungwon Song
This network shows the impact of papers produced by Seungwon Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seungwon Song. The network helps show where Seungwon Song may publish in the future.
Co-authorship network of co-authors of Seungwon Song
This figure shows the co-authorship network connecting the top 25 collaborators of Seungwon Song. A scholar is included among the top collaborators of Seungwon Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seungwon Song. Seungwon Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 78 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 67 | |
| 8 | 3 | |
| 9 | 111 | |
| 10 | 38 | |
| 11 | Development of Wall-climbing Unmanned Aerial Vehicle System for Micro-Inspection of Bridges | 4 |
| 12 | 7 | |
| 13 | 31 | |
| 14 | Development of an Unmanned Aerial Vehicle System for Bridge Inspection and Its Experimental Results | 2 |
| 15 | RGB-D and Magnetic Sequence-based Graph SLAM with Kidnap Recovery | 7 |
| 16 | 10 | |
| 17 | Graph-based SLAM (Simultaneous Localization And Mapping) for Bridge Inspection Using UAV (Unmanned Aerial Vehicle) | 1 |
| 18 | 69 | |
| 19 | 77 | |
| 20 | 30 |
About Seungwon Song
Seungwon Song is a scholar working on Geology, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 712 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Indoor and Outdoor Localization Technologies (6 papers) and Quantum Dots Synthesis And Properties (6 papers). The work is most often cited by research in Geology (98 citations), Polymers and Plastics (148 citations) and Aerospace Engineering (201 citations). Seungwon Song has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyun Myung, Sungwook Jung, Heesun Yang, Hyungtae Lim, Suk‐Young Yoon, Sun‐Hyoung Lee, Dae‐Yeon Jo, Hyun‐Min Kim, Hani E. Naguib and Chul B. Park. Their work appears in journals such as Chemistry of Materials, Chemical Engineering Journal and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.